5 search results - page 1 / 1 » Statistics of Shape via Principal Geodesic Analysis on Lie G... |
CVPR
2003
IEEE
14 years 6 months ago
2003
IEEE
Principal component analysis has proven to be useful for understanding geometric variability in populations of parameterized objects. The statistical framework is well understood ...
IPMI
2003
Springer
14 years 5 months ago
2003
Springer
The Gaussian distribution is the basis for many methods used in the statistical analysis of shape. One such method is principal component analysis, which has proven to be a powerfu...
MIAR
2006
IEEE
13 years 10 months ago
2006
IEEE
Abstract. A main focus of statistical shape analysis is the description of variability of a population of geometric objects. In this paper, we present work in progress towards mode...
ECCV
2004
Springer
13 years 10 months ago
2004
Springer
Diffusion tensor magnetic resonance imaging (DT-MRI) is emerging as an important tool in medical image analysis of the brain. However, relatively little work has been done on produ...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
The geometric median is a classic robust estimator of centrality for data in Euclidean spaces. In this paper we formulate the geometric median of data on a Riemannian manifold as ...